Senior Machine Learning Scientist (Recommender Systems) Job at Tripadvisor

Senior Machine Learning Scientist

About Viator: Viator, a Tripadvisor company, is the leading marketplace for trav...

Location

Salary:

Not provided

Tripadvisor

Expiration Date

Until further notice

Requirements

5+ years of hands-on data science experience
In-depth knowledge of AI/ML/DL, Statistics, and related open-source libraries
Awareness of current ML techniques, keen on self-improvement and striving to solve real-world data challenges
Strong skills in SQL and at least one programming language
Experience in ML model productization and a grasp of MLOps
To be comfortable in code reviews, discussing architecture, and collaborating with a multidisciplinary team for regular model deployments
Experience in deploying online solutions and analysing real-time results through A/B testing
To be passionate about mentoring junior members of the team, and have a strong desire to help us perform to the best of our ability
Leadership qualities, autonomy, and team collaboration skills
Clear communication skills, awareness of the audience, and proactive sharing of findings. Actively involved in business networking and able to communicate complex ideas across the business simply and effectively

Job Responsibility

Design, code, experiment and implement models and algorithms to enhance customer satisfaction, increase supplier value, optimize business results, and ensure infrastructure efficiency
Analyse large datasets including daily customer events, product, destination, supplier and pricing info, extracting key insights to spur innovation and improvement
Collaborate with product managers and various business stakeholders to ensure top-quality outcomes to meet internal objectives
Investigate and adopt innovative concepts that offer tangible benefits
Employ techniques like Deep Learning, Bayesian Modelling, Large Language Models, Product embedding, Recommendation Systems, and Computer Vision

What we offer

Competitive compensation packages (routinely benchmarked against the latest industry data), including base salary and annual bonuses
“Work your way” with flexibility to suit your lifestyle. Viator takes a remote-friendly approach to collaboration across a worldwide team, with the option to join on-site as often as you’d like
Flexible schedule. Work-life balance is ingrained in our culture by design. Trust and accountability make it work
Donation matching. Give back? Give more! We match qualifying charitable donations annually
Tuition assistance. Want to level up your career? We love to hear it! Receive annual support for qualified programs
Lifestyle benefit. An annual benefit to spend on yourself. Use it on travel, wellness, or whatever suits you
Travel perks. We believe that travel is employee development, so we provide discounts and more
Employee assistance program. We’re here for you with resources and programs to help you through life’s challenges
Health benefits. We offer great coverage and competitive premiums

New

Senior Staff Machine Learning Scientist, Recommendations

At SiriusXM and Pandora, recommendations sit at the core of the user experience....

Location

Ireland , Dublin

Salary:

Not provided

SiriusXM

Expiration Date

Until further notice

Requirements

M.S. in a quantitative field required
Ph.D. preferred
7+ years production experience implementing recommender systems, machine learning pipelines, models at scale in Python, Java, Scala, or similar languages
Production ML: Knowledge of production ML best practices such as model versioning, tracking, deployment, monitoring
serving concepts such as feature stores, etc.
ML Concepts: Expertise with modern ML approaches for recommendations such as transformers, other deep-learning based recommender/ranking approaches, and LLM/agentic recommendation approaches
Soft Skills: Excellent written and verbal communication skills, with the ability to effectively advocate technical solutions to scientists, engineers, and product audiences
Mindset: Self-motivated, growth-oriented, and driven to pursue solutions to challenging problems

Job Responsibility

Design, build, and improve traditional, deep-learning, transformer-based, and AI-based personalised recommendation models for various audio-content recommendation tasks
Drive the development of novel methods to enable cross-domain recommendations, live on-the-air content recommendations, multi-stakeholder recommendations, and improved recommendation explainability and interactivity
Continuously monitor, evaluate, optimise, and improve model performance, ensuring alignment with business goals and high-quality user experiences via offline metrics and A/B testing
Establish and scale best practices for ML development, deployment, and evaluation
Lead cross-functional efforts with product, backend engineers, data engineers, and machine learning engineers to define and drive roadmaps across multiple recommendation and personalisation surfaces
Stay up-to-date with the latest techniques in machine learning and apply these advancements to solve complex problems in recommendations and ranking, helping set the technical direction and vision for personalisation in a rapidly evolving ML and AI landscape
Own and influence the technical strategy for recommendation and personalisation systems across the organisation
Elevate the team’s capabilities by mentoring junior members, conducting thorough code reviews, and fostering an environment of shared knowledge and continuous learning

Fulltime

Senior Data Scientist – Recommender Systems & VLMs

Mapp is a leading AI-powered retail technology company helping fashion retailers...

Location

United Kingdom; Germany , London; Munich; Berlin

Salary:

Not provided

Mapp Digital

Expiration Date

Until further notice

Requirements

Degree in a quantitative field such as Data Science, Statistics, Mathematics, Economics, Computer Science, or a related discipline
3-5 years of experience in Data Science, Machine Learning, or Product Analytics
Strong proficiency in Python (experience with PySpark is a plus)
Strong analytical and problem-solving skills
Ability to communicate technical concepts effectively to non-technical stakeholders
Proven track record of building and deploying machine learning models, ideally recommendation systems and vision language models
Experience with cloud and data technologies, such as AWS, DBT, Airflow, Databricks, and ETL pipelines

Job Responsibility

Develop and improve recommendation systems and vision language models
Design and evaluate experiments
Collaborate closely with Product and Engineering teams to shape the future of the platform
Work on high-impact initiatives
Influence strategic decisions
Drive innovation across products used by millions of consumers and leading retail brands

What we offer

Flexible Ways of Working: hybrid working model with the flexibility of remote work and access to modern office spaces
Opportunity to work remotely from another EU country for up to two weeks per year (available to employees holding an EU passport)
Compensation & Benefits package varies by location
Growth & Opportunity: meaningful responsibilities, support in professional development

Fulltime

Senior Machine Learning Engineer, Shopping AI

As the engine behind Zillow Group's mission to build a seamless digital real est...

Location

United States

Salary:

163200.00 - 274300.00 USD / Year

Zillow

Expiration Date

Until further notice

Requirements

3-5 years of experience in developing applications in search, personalized ranking, or recommender systems
Experience developing and deploying ML models that scale to high-traffic, latency sensitive customer-facing services (100s of millions of requests per day)
Strong programming skills in a high-level language such as Python or Java
Familiarity with common machine learning libraries like PyTorch, TensorFlow, Catboost, scikit-learn and huggingface (repository)
Expertise with large scale distributed data processing systems such as Hive, Spark, Airflow, or Databricks
Experience owning the full lifecycle of customer facing machine learning models, from offline experimentation and prototyping to online deployment, A/B testing, and performance monitoring

Job Responsibility

Design, build, and ship production new machine learning models that power core product features on the Zillow app, website, and email/push notifications
Re-architect our core home ranking and recommendation systems to support advanced neural networks and dramatically accelerate the pace of experimentation across surfaces
Own the full lifecycle of your models, from offline experimentation and prototyping with massive datasets to online deployment, A/B testing, and performance monitoring
Pioneer the application of cutting-edge deep learning and large language models (LLMs) to improve our home shopping experience
Develop new AI components that optimize how we display and when we recommend homes, ensuring we connect shoppers with the right content on the right properties at the right time
Collaborate in a cross-functional group of engineers, applied scientists, product managers, and designers to define, execute, and iterate on the team's strategic roadmap
Contribute to the team's engineering excellence by improving our machine learning infrastructure, development standards, and shared tooling
Act as a key technical voice, mentoring other engineers and helping to shape the long-term vision for artificial intelligence in the home shopping experience

What we offer

Equity awards

Fulltime

Principal Machine Learning Scientist

As a Principal Machine Learning Scientist, you will be the technical anchor for ...

Location

United Kingdom , London

Salary:

Not provided

Tripadvisor

Expiration Date

Until further notice

Requirements

Ph.D. or Master's degree in Computer Science, Machine Learning, Statistics, or a highly quantitative field
8+ years of industry experience developing and deploying large-scale ML models in a production environment, with a proven track record of shipping systems at the scale of millions of active users
Deep theoretical and practical knowledge in the following areas: SOTA Retrieval & Ranking: Practical experience with Multi-Task Learning (MTL), Multi-gate Mixture-of-Experts (MMoE), or similar architectures optimized for multi-objective optimization
Sequential & Temporal Modeling: Hands-on experience building sequential recommendation systems that capture real-time user session dynamics and long-term historical preferences
Advanced Representation Learning: Deep understanding of embedding generation, deep semantic retrieval, and multi-modal representation learning
Technical Stack: Mastery of Python and deep learning frameworks (TensorFlow, PyTorch) alongside hands-on experience with distributed computing (Spark, Ray) and cloud infrastructure (AWS/GCP)

Job Responsibility

Drive the technical roadmap for Search, Retrieval, Ranking, and Recommendation systems within the Trips vertical
Translate high-level business goals into concrete ML architectures and scalable production systems
Design, prototype, and scale next-generation recommendation and ranking models
Solve complex, non-linear travel journeys by utilizing sequential recommenders, representation learning, and deep multi-objective frameworks
Oversee the deployment of low-latency, high-throughput retrieval and ranking pipelines (e.g., multi-stage retrieval, vector search) capable of processing billions of travel data points (reviews, photos, bookings, user intent) in real-time
Partner closely with Product Managers, Engineering Leads, and Data Science peers to optimize multi-task business objectives simultaneously
Act as the primary technical authority for ML initiatives within the Trips vertical
Mentor and coach senior and mid-level ML scientists
Foster a culture of technical excellence, driving best practices for MLOps, rigorous A/B testing, data privacy, and code quality

What we offer

Competitive compensation packages (routinely benchmarked against the latest industry data), including base salary and annual bonuses
'Work your way' with flexibility to suit your lifestyle. Tripadvisor Group takes a remote-friendly approach to collaboration across a worldwide team, with the option to join on-site as often as you’d like or as required by your team
Flexible schedule
Donation matching
Tuition assistance
Lifestyle benefit
Travel perks
Employee assistance program
Health benefits
Generous referral scheme

Fulltime

Senior Machine Learning Engineer, Rider

The Aura team powers a real-time ML engine personalizing the booking experience ...

Location

United States , Seattle; San Francisco; Sunnyvale

Salary:

202000.00 - 224000.00 USD / Year

Uber

Expiration Date

Until further notice

Requirements

Bachelor’s degree in Computer Science, Engineering, Mathematics or related field
3+ years of experience in software engineering with an emphasis on data-driven methodologies, deep learning, and online experimentation
Strong problem-solving skills, with expertise in ML methodologies
Experience in applying ML, statistics, or optimization techniques to solve large-scale real-world problems (e.g. ads tech, recommender systems)
Industry experience in ML frameworks (e.g. Tensorflow, Pytorch, or JAX) and complex data pipelines
programming languages such as Python, Spark SQL, Presto, Java, Go

Job Responsibility

Defining and driving ML solutions for key strategic problems in the space of product recommendations and merchandising: help riders find and complete rides with the right products, understanding their ride context and modeling their intent while attending to Uber’s business goals, marketplace conditions and efficiencies
Provide technical leadership to a passionate, experienced, and diverse engineering team
Manage project priorities, deadlines and deliverables and design, develop, test, deploy and maintain ML solutions
Raise the bar of ML engineering by improving best practices, producing exemplary code, documentation, automated tests and thorough & precise monitoring, and applying model debugging & interpretation techniques
Partner with product owners, data scientists and business teams to translate key insights and business opportunities into technical solutions

What we offer

Bonus program
equity award
401(k) plan
various benefits

Fulltime

Senior Machine Learning Engineer

Join us in building the future of finance. Our mission is to democratize finance...

Location

United States , Menlo Park, CA; Bellevue, WA

Salary:

209000.00 - 245000.00 USD / Year

Robinhood

Expiration Date

Until further notice

Requirements

5+ years of applied ML experience productionizing ML models with 2+ years focused on recommendations, ranking or personalization projects
A fervent interest in exploring and applying AI and ML technologies
Strive to solve sophisticated engineering problems that drive business objectives
Solid technical foundation enabling active contribution to the design and execution of projects and ideas
Familiarity with architectural frameworks of large, distributed, and high-scale ML applications
Hands-on experience in classical ML techniques with tabular data as well as modern techniques with sequential data
Proven experience in ML with a focus on ranking, recommendation systems, multi-objective optimization, and reinforcement learning
Proficiency in Python, SQL, XGboost, PyTorch/TensorFlow
Experience with Spark, Kafka, and Kubernetes is also desirable
Ideally you have experience in the Finance sector

Job Responsibility

AI and ML Research: Evaluate cutting technologies, including but not limited to, transformer based model architecture and large foundational models to identify solutions for Robinhood specific problems
Model Development and Implementation: Develop and implement scalable machine learning models focusing on advanced ranking and recommendation systems, including expertise in Collaborative Filtering, Content-Based Filtering, and Hybrid models, alongside proficiency in Learning to Rank (LTR) techniques for effective prioritization. Additionally, design reinforcement learning algorithms and apply multi-armed bandit strategies to optimize decision-making in dynamic environments, balancing exploration and exploitation
A/B Testing and Experimentation: Design and conduct A/B tests to assess the performance of different machine learning models. This includes setting up the test environment, monitoring performance, and analyzing results
Data Analysis and Insight Generation: Analyze experimental data to extract actionable insights. Use statistical techniques to validate the findings and ensure their relevance and accuracy
Cross-Functional Collaboration: Work closely with other engineering teams, data scientists, and the marketing team to integrate machine learning models into the product and ensure they meet business requirements. Present results to different stakeholders
Tooling and Documentation: Build reusable libraries for common machine learning practices. Offer support and guidance to the usage of these tools. Maintain comprehensive documentation of libraries, models, experiments, and findings

What we offer

Performance driven compensation with multipliers for outsized impact, bonus programs, equity ownership, and 401(k) matching
100% paid health insurance for employees with 90% coverage for dependents
Lifestyle wallet - a highly flexible benefits spending account for wellness, learning, and more
Employer-paid life & disability insurance, fertility benefits, and mental health benefits
Time off to recharge including company holidays, paid time off, sick time, parental leave, and more
Exceptional office experience with catered meals, events, and comfortable workspaces

Fulltime

Senior Machine Learning Engineer

We are currently looking for a candidate for the position of (F/M) Senior Machin...

Location

Poland , Aalst

Salary:

Not provided

Astek

Expiration Date

Until further notice

Requirements

Have at least 5 years of professional experience as a Machine Learning Engineer and have worked with production ML systems
Have strong programming skills in Python and solid knowledge of the data science ecosystem
Have experience designing building and maintaining scalable ML systems in a cloud environment preferably AWS
Have hands on experience with AWS SageMaker for training and deploying machine learning models
Have experience with at least one deep learning framework such as TensorFlow or PyTorch
Have practical experience with MLOps especially MLflow and CI CD pipelines in GitLab
Are able to design document and clearly communicate the architecture of complex ML systems and data pipelines
Can work closely with business stakeholders and translate business requirements into technical solutions
Have experience mentoring data scientists or engineers

Job Responsibility

Leading the evolution of the architecture of a live global recommender system
Designing and implementing MLOps practices including CI CD automation monitoring and ML experiment reproducibility
Collaborating with data scientists to move machine learning models from research to production on AWS SageMaker
Being an active hands on contributor to the Python codebase for data ML infrastructure and model deployment
Acting as a technical leader and mentor for data science and engineering teams
Working closely with product managers and business stakeholders to translate business needs into technical solutions
Identifying and advocating for new technologies and continuous improvements in ML and MLOps

What we offer

Long-term collaboration
Technical training, certifications, and skills development
Competence Center mentoring – being a member of the Competence Center community from day one is an opportunity to develop your skills, participate in various conferences, and share knowledge and experience with people who face the same challenges every day
Clear career path
Employee benefits package (Multisport, private healthcare, life insurance)
Friendly working atmosphere, team-building events, and team-building meetings

Fulltime

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Senior Machine Learning Scientist (Recommender Systems)

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